Examples of Computing Power for Zero-Inflated and Overdispersed Count Data

被引：6
|
作者：
Doyle, Suzanne R. [1 ,2 ]
机构：
[1] Univ Washington, Seattle, WA 98195 USA
[2] Alcohol & Drug Abuse Inst, Seattle, WA 98195 USA
来源：
JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2009年 / 8卷 / 02期
关键词：
Conditional power; Wald statistic; zero-inflation; over-dispersion; Poisson; negative binomial;
D O I：
10.22237/jmasm/1257033720
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Examples of zero-inflated Poisson and negative binomial regression models were used to demonstrate conditional power estimation, utilizing the method of an expanded data set derived from probability weights based on assumed regression parameter values. SAS code is provided to calculate power for models with a binary or continuous covariate associated with zero-inflation.
引用
收藏
页码：360 / 376
页数：17
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